postprocess_CogLAW: Postprocess CogLAW data - FORCED CHOICE

In katherinesimeon/HLL: NU Hearing & Language Lab

Description

Postprocess CogLAW data for CS Thesis (3 argument version)

Usage

postprocess_CogLAW(filename, attribute_type, age_group)

Arguments

filename	The Psychopy Output File. Should be a string (with ”) with a .csv extension.
attribute_type	A string that indicates whether the attribute condition was Familiar or Novel
age_group	A string that indicates whether the participant is in the Younger or Older age group

Value

a cleaned dataframe with individual trials for a given participant. The overall accuracy for the subject in percent, accuracy for attributes vs. labels, & the accuracy by each target word. Attribute_Type and Age_Group columns will be added based on input parameters. Created by KS 3/2018 for CS Undergraduate Thesis - CogLAW: Cognitive Learning Attributes & Words Rev 4/2018 to include attribute and age group inputs

Examples

postprocess_CogLAW('CogLAW_002_Order1A.csv',"Familiar","Young")

katherinesimeon/HLL documentation built on Aug. 20, 2019, 8:19 a.m.